Zobrazeno 1 - 10
of 1 460
pro vyhledávání: '"P. Manojkumar"'
In the domain of black-box model extraction, conventional methods reliant on soft labels or surrogate datasets struggle with scaling to high-dimensional input spaces and managing the complexity of an extensive array of interrelated classes. In this w
Externí odkaz:
http://arxiv.org/abs/2408.02140
The recent strides in artificial intelligence (AI) and machine learning (ML) have propelled the rise of TinyML, a paradigm enabling AI computations at the edge without dependence on cloud connections. While TinyML offers real-time data analysis and s
Externí odkaz:
http://arxiv.org/abs/2407.11599
Autor:
Rao, Yashwanth, S, Gaurisankar, R, Durga, Purayath, Aparna, Maik, Vivek, Lakshmanan, Manojkumar, Sivaprakasm, Mohanasankar
In this paper, we propose an innovative Graphical User Interface (GUI) aimed at improving preoperative planning and intra-operative guidance for precise spinal screw placement through vertebrae segmentation. The methodology encompasses both front-end
Externí odkaz:
http://arxiv.org/abs/2407.08349
The proposed work establishes a novel Graphical User Interface (GUI) framework, primarily designed for intraoperative pedicle screw planning. Current planning workflow in Image Guided Surgeries primarily relies on pre-operative CT planning. Intraoper
Externí odkaz:
http://arxiv.org/abs/2407.08347
Autor:
T, Suhail Ansari, Maik, Vivek, Naheem, Minhas, Ram, Keerthi, Lakshmanan, Manojkumar, Sivaprakasam, Mohanasankar
In response to the growing demand for precise and affordable solutions for Image-Guided Spine Surgery (IGSS), this paper presents a comprehensive development of a Robot-Assisted and Navigation-Guided IGSS System. The endeavor involves integrating cut
Externí odkaz:
http://arxiv.org/abs/2407.01578
Emerging vulnerabilities in machine learning (ML) models due to adversarial attacks raise concerns about their reliability. Specifically, evasion attacks manipulate models by introducing precise perturbations to input data, causing erroneous predicti
Externí odkaz:
http://arxiv.org/abs/2404.15656
Autor:
Bhardwaj, Gauri, Govindarajulu, Yuvaraj, Narayanan, Sundaraparipurnan, Kulkarni, Pavan, Parmar, Manojkumar
Medical imaging has revolutionized disease diagnosis, yet the potential is hampered by limited access to diverse and privacy-conscious datasets. Open-source medical datasets, while valuable, suffer from data quality and clinical information dispariti
Externí odkaz:
http://arxiv.org/abs/2312.06979
Autor:
Williams, Brendan, Nguyen, Dan, Vidal, Julie, Initiative, Alzheimer's Disease Neuroimaging, Saranathan, Manojkumar
The thalamus and its constituent nuclei are critical for a broad range of cognitive and sensorimotor processes, and implicated in many neurological and neurodegenerative conditions. However, the functional involvement and specificity of thalamic nucl
Externí odkaz:
http://arxiv.org/abs/2309.15053
Autor:
A, Shyam, Purayath, Aparna, S, Keerthivasan, M, Akash S, Govindaraju, Aswathaman, Lakshmanan, Manojkumar, Sivaprakasam, Mohanasankar
Maternal health remains a pervasive challenge in developing and underdeveloped countries. Inadequate access to basic antenatal Ultrasound (US) examinations, limited resources such as primary health services and infrastructure, and lack of skilled hea
Externí odkaz:
http://arxiv.org/abs/2309.03725
Autor:
Syed Amir Ashraf, Abd Elmoneim O. Elkhalifa, Eyad Al-Shammari, Amir Mahgoub Awadelkareem, Mohammad Kuddus, Mitesh Kumar, Manojkumar Sachidanandan, Z. R. Azaz Ahmad Azad, Mohd Adnan
Publikováno v:
Emirates Journal of Food and Agriculture, Vol 36, Iss , Pp 1-15 (2024)
Fermented soymilk is a traditional oriental food beverage that has various health benefits due to its bioactive compounds. However, the fermentation process and the probiotic strains used can affect the quality and functionality of fermented soymilk.
Externí odkaz:
https://doaj.org/article/768cad0e600b4fbaaf6cdb612fe6e340
